TY - JOUR
T1 - BiosecurID
T2 - A multimodal biometric database
AU - Fierrez, J.
AU - Galbally, J.
AU - Ortega-Garcia, J.
AU - Freire, M. R.
AU - Alonso-Fernandez, F.
AU - Ramos, D.
AU - Toledano, D. T.
AU - Gonzalez-Rodriguez, J.
AU - Siguenza, J. A.
AU - Garrido-Salas, J.
AU - Anguiano, E.
AU - Gonzalez-de-Rivera, G.
AU - Ribalda, R.
AU - Faundez-Zanuy, M.
AU - Ortega, J. A.
AU - Cardeñoso-Payo, V.
AU - Viloria, A.
AU - Vivaracho, C. E.
AU - Moro, Q. I.
AU - Igarza, J. J.
AU - Sanchez, J.
AU - Hernaez, I.
AU - Orrite-Uruñuela, C.
AU - Martinez-Contreras, F.
AU - Gracia-Roche, J. J.
PY - 2010/5
Y1 - 2010/5
N2 - A new multimodal biometric database, acquired in the framework of the BiosecurID project, is presented together with the description of the acquisition setup and protocol. The database includes eight unimodal biometric traits, namely: speech, iris, face (still images, videos of talking faces), handwritten signature and handwritten text (on-line dynamic signals, off-line scanned images), fingerprints (acquired with two different sensors), hand (palmprint, contour-geometry) and keystroking. The database comprises 400 subjects and presents features such as: realistic acquisition scenario, balanced gender and population distributions, availability of information about particular demographic groups (age, gender, handedness), acquisition of replay attacks for speech and keystroking, skilled forgeries for signatures, and compatibility with other existing databases. All these characteristics make it very useful in research and development of unimodal and multimodal biometric systems.
AB - A new multimodal biometric database, acquired in the framework of the BiosecurID project, is presented together with the description of the acquisition setup and protocol. The database includes eight unimodal biometric traits, namely: speech, iris, face (still images, videos of talking faces), handwritten signature and handwritten text (on-line dynamic signals, off-line scanned images), fingerprints (acquired with two different sensors), hand (palmprint, contour-geometry) and keystroking. The database comprises 400 subjects and presents features such as: realistic acquisition scenario, balanced gender and population distributions, availability of information about particular demographic groups (age, gender, handedness), acquisition of replay attacks for speech and keystroking, skilled forgeries for signatures, and compatibility with other existing databases. All these characteristics make it very useful in research and development of unimodal and multimodal biometric systems.
KW - Biometrics
KW - Database
KW - Face
KW - Fingerprint
KW - Hand geometry
KW - Handwriting
KW - Iris
KW - Keystroking
KW - Multimodal
KW - Palmprint
KW - Signature
KW - Speech
UR - https://www.scopus.com/pages/publications/77951880527
U2 - 10.1007/s10044-009-0151-4
DO - 10.1007/s10044-009-0151-4
M3 - Article
AN - SCOPUS:77951880527
SN - 1433-7541
VL - 13
SP - 235
EP - 246
JO - Pattern Analysis and Applications
JF - Pattern Analysis and Applications
IS - 2
ER -